- M. C. Joshi
- R. Khare
- M. Pallikonda Rajasekaran
- P. Subbaraj
- J. Amutharaj
- R. Ganesan
- S. Neduncheliyan
- K. K. Thyagharajan
- T. Akilandeswari
- N. Balaganesh
- S. RadhaKrishnan
- C. N. Hari Prasath
- A. Balasubramanian
- M. Prasanthrajan
- R. Jeyalakshmi
- K. G. Selvan
- N. Rajamane
- M. S. Holi
- S. Swaranamani
- N. A. Jayavelan
- P. Deepan Bharathi
- S. Yesu Suresh Raj
- Indian Forester
- Wireless Communication
- Networking and Communication Engineering
- Digital Image Processing
- Indian Journal of Science and Technology
- ICTACT Journal on Soft Computing
- International Journal of Forestry and Crop Improvement
- International Journal of Earth Sciences and Engineering
- Journal of Pure and Applied Ultrasonics
- Asian Journal of Management
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Radhakrishnan, S.
- A Note on Longer Survival of Shorea robusta Seedlings in Simulated Hydrophytic Condition
Authors
Source
Indian Forester, Vol 125, No 5 (1999), Pagination: 539-540Abstract
No abstract- Wireless Sensor Grid Architecture for Monitoring Different Groups of Patients‟ Health Status Using ALCHEMI Toolkit
Authors
1 Department of ICE, Kalasalingam University, Tamil Nadu, IN
2 Kalasalingam University, Tamil Nadu, IN
3 Theni Kamavar College of Engineering, Theni, Tamil Nadu, IN
Source
Wireless Communication, Vol 2, No 8 (2010), Pagination: 218-222Abstract
In recent days, some severe diseases and disorders need close and continual monitoring in order to prevent further damage and/or death. The urgent problem in society today is the increase of patients recovering from surgery, the elderly population with a shortage of caregivers and ambulatory patients‟ status. The existing patient-monitoring systems are designed to be used by highly trained operators, with a number of hampering wires from the sensors to the data acquisition system; thus, such instruments are hardly suitable for monitoring during the patients‟ routine activities. This problem must be solved in a way, which is acceptable from a patient‟s perspective, and at the same time increase the efficiency of the personnel working in healthcare centers during the patients‟ routine activities. One of the primary challenges faced by healthcare authorities is to maximize the quality and breadth of healthcare services while controlling the costs. One possible solution is the use of modern information and communication technology to enable the healthcare personnel to work more efficiently. A trend in modern medicine is the tendency towards individualization of healthcare and, potentially, grid computing can play an important role by allowing the sharing of resources and expertise to improve the quality of healthcare. The wireless sensor grid architecture proposed for monitoring post-operative patients in hospitals, elderly patients at home and patients affected by COPD and PD in an ambulatory environment, provides a platform for physicians and researchers to share information with a distributed database and computational resources to facilitate analysis and diagnosis. The data acquired from heterogeneous sources are stored in a medical server to perform complex on-line and off-line analysis, and prediction with the information databases, and alert the physicians, emergency departments and caretakers. Authenticated users can access the patient‟s information through a secured web server.Keywords
Wireless Sensor Grid, Patient Monitoring, Remote Patient Monitoring System.- An Empirical Study of Replication Algorithms in Content Distribution Networks
Authors
1 Department of CSE, Arulmigu Kalasalingam College of Engineering, Krishnankoil, Virudhunagar (Dist.), Tamilnadu, IN
2 Department of Computer Science and Engineering, Arulmigu Kalasalingam College of Engineering, Krishnankoil, Virudhunagar (Dist.), Tamilnadu, IN
Source
Networking and Communication Engineering, Vol 2, No 7 (2010), Pagination: 167-174Abstract
In this paper, we consider an efficient and resilient large file content push problem in a large-scale distributed Content Delivery Networks. Contents in CDN are replicated in many surrogate servers according to some content distribution strategies dictated by the application environment. Hence, we propose a novel content distribution policy to replicate the content from the origin server to a set of surrogate servers in an efficient and reliable manner. The contributions of this paper are twofold. First we introduce a novel Hybrid Replica (HR) algorithm and theoretically analyze its performance with traditional content replication algorithms. Then, by means of a simulation based performance evaluation, we assess the efficiency and resiliency of the proposed Hybrid Replica (HR), and compare its performance with traditional content replication algorithms as stated in the literature. We demonstrate in experiment that Hybrid Replica (HR) significantly reduces the file replication time as compared with traditional strategies such as sequential unicast, multiple unicast, Fast Replica (FR), Resilient Fast Replica(R-FR), and Tornado codes (TC). This paper also analyzes the performance of sequential unicast, multiple unicast, Fast Replica (FR), Resilient Fast Replica(R-FR), Tornado codes, and Hybrid Replica (HR) algorithms in terms of average replication time and maximum replication time.
Keywords
CDN, Fast Replica, Resilient Fast Replica, Hybrid Replica, Tornado Codes.- Texture Analysis in CT Brain Images Using a Reduced Run-Length Method
Authors
1 Department of EIE, RVS College of Engineering, Dindigul, TamilNadu, IN
2 Department of CSE, Kalasalingam University, Srivilliputhur, TamilNadu, IN
Source
Digital Image Processing, Vol 1, No 3 (2009), Pagination: 88-92Abstract
In this paper a new method for texture classification of CT scan brain images based on Gray Level Run Length Method (GLRLM) is proposed. Other two conventional methods, Spatial Gray Level Dependency Method (SGLDM), and standard Gray Level Run-Length Method (GLRLM) are used to compare the performance of the proposed method. The feature vector consists of 14 Haralick features. The proposed algorithm applied to real time CT scan images. We achieved the classification rate 88% in the distinction between normal and abnormal images. Based on our experiments, the Reduced Gray Level Run Length Method (RGLRLM) is more appropriate than other methods for texture classification as it leads to higher classification accuracy.
Keywords
Brain Classification, Feature Extraction, Neural Network and Texture Analysis.- A Review of Downlink Packet Scheduling Algorithms for Real Time Traffic in LTE-Advanced Networks
Authors
1 Dr. Pauls Engineering College, Puducherry - 605109, Tamil Nadu, IN
2 Jaya College of Engineering and Technology, Chennai – 600056, Tamil Nadu, IN
3 R. M. D. Engineering College, Chennai - 600040, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 4 (2016), Pagination:Abstract
Objective: In recent times, the demand for high data rates is ever increasing in any wireless network environment. Long Term Evolution-Advanced (LTE-A) is the latest 4G technology which is developed based on 3GPP specifications. Our main objective in this proposed research wok is to analyze the various packet scheduling algorithms for downlink real time data and present their scheduling metrics. Methods: In this review we considered more recent scheduling algorithms which are QoS aware and with specific focus on real time traffic classes such as VoIP, Video Streaming, Interactive Gaming and mobile video conference. Conclusion: Our most significant observation from this review is that any packet scheduling algorithm for downlink real time data should be QoS aware so that it is readily deployable in the present day multimedia networks. The scheduling schemes should also consider the latest technologies such as Carrier Aggregation (CA) and Multi Input and Multi Output (MIMO). Applications: The presented review will help the researchers and academicians to develop more efficient scheduling schemes for real time applications for smart phone users with better quality of experience and efficient radio resource management.Keywords
LTE-Advanced, Packet Scheduling, QoS, Radio Resource Management, Real Time Traffic- Candidate Tree-In-Bud Pattern Selection and Classification Using Ball Scale Encoding Algorithm
Authors
1 Department of Computer Science and Engineering, Mepco Schlenk Engineering College, IN
2 Department of Information Technology, Kamaraj College of Engineering and Technology, IN
Source
ICTACT Journal on Soft Computing, Vol 4, No 1 (2013), Pagination: 645-650Abstract
Asthma, Chronic obstructive pulmonary disease, influenza, pneumonia, tuberculosis, lung cancer and many other breathing problems are the leading causes of death and disability all over the world. These diseases affect the lung. Radiology is a primary assessing method with low specificity of the prediction of the presence of these diseases. Computer Assisted Detection (CAD) will help the specialists in detecting one of these diseases in an early stage. A method has been proposed by Ulas Bagci to detect lung abnormalities using Fuzzy connected object estimation, Ball scale encoding and comparing various features extracted from local patches of the lung images (CT scan). In this paper, the Tree-in-Bud patterns are selected after segmentation by using ball scale encoding algorithm.Keywords
Computer Assisted Detection, Tree in Bud Opacities, Fuzzy Connectedness, Ball Scale encoding, Wilmore Energy Features, Support Vector Machine.- Performance Evaluation of Different Tree Species for Carbon Sequestration under Wasteland Condition
Authors
1 Department of Siliviculture, Forest College and Research Institute (T.N.A.U.), Mettupalayam (T.N.), IN
Source
International Journal of Forestry and Crop Improvement, Vol 7, No 1 (2016), Pagination: 7-13Abstract
A study was conducted to identify suitable fast growing trees under wasteland condition for carbon sequestration. Accordingly, five fast growing trees namely Tectona grandis Linn., Gmelina arborea Roxb., Dalbergia sissoo Roxb., Bambusa vulgaris var. vulgaris and Swietenia macrophylla king were selected for field study under wasteland condition. The performance of these trees was assessed with biometrical traits (height, basal diameter) and eco-physiological traits (transpiration, photosynthesis, intercellular CO2 concentration and stomatal conductance). Among the five species, Dalbergia sissoo exhibited highest growth, productivity and also superior in ecophysiological traits suits for carbon sequestration. The tree species, Bambusa vulgaris var. vulgaris performed well next to Dalbergia sissoo interms of biometric, productivity and eco-physiological parameters. The lowest biometric and productivity was observed in Gmelina arborea. The tree species, Dalbergia sissoo and Bambusa vulgaris var. vulgaris are highly suitable for afforestation in wastelands to attain carbon sequestration benefits.Keywords
Tree Species, Wasteland, Carbon Sequestration, Eco-Physiological Traits.- Growth and Carbon Stock Assessment in Three Year Old Fast Growing Trees Grown under Wasteland Condition at Sivagangai District of Southern Tamil Nadu
Authors
1 Department of Silviculture, Forest College and Research Institute (T.N.A.U.), Mettupalayam (T.N.), IN
Source
International Journal of Forestry and Crop Improvement, Vol 7, No 1 (2016), Pagination: 29-34Abstract
A field experiment was conducted to assess the growth and carbon sequestration potential of five fast growing trees namely Tectona grandis, Gmelina arborea, Dalbergia sissoo, Bambusa vulgaris var. vulgaris and Swietenia macrophylla. The saplings of these five species were planted and assessed for biometric, biomass production and carbon accumulation potential. Among the five tree species, Dalbergia sissoo and Bambusa vulgaris var. vulgaris were found to be superior interms of maximum height, basal diameter, biomass and biomass carbon. Gmelina arborea exhibited low height, basal diameter, biomass and biomass carbon. The per cent contribution of biomass carbon was higher in the stems of all the species followed by ischolar_main, branches and leaves. The field study inferred that, Dalbergia sissoo and Bambusa vulgaris var. vulgaris performed well with higher biomass and biomass carbon productivity under dry land condition and hence these two species can be promoted for afforestation / reforestation of the wastelands in Tamil Nadu under protected irrigation conditions.Keywords
Fast Growing Trees, Wasteland, Growth Performance, Carbon Stock Assessment.- Fly Ash/Slag Geopolymer Technology Development and Deployment in Construction and Infrastructure Industry:India’s Perspective
Authors
1 School of Business, PRIST University, Thanjavur-613403, Tamil Nadu, IN
2 Department of Chemistry, SRM University, Kancheepuram District-603203, Tamil Nadu, IN
3 Center for Advanced Concrete Research, SRM University, Kancheepuram District-603203, Tamil Nadu, IN
Source
International Journal of Earth Sciences and Engineering, Vol 10, No 4 (2017), Pagination: 757-765Abstract
India is fast shifting from the image of agrarian economy to industrial economy. While the total Indian Economy is of 152.51 lakh Crore rupees, the construction sector contribution alone to the national GDP is 10,64,068 Crore rupees. Construction and infrastructure industry exerts a lot of environmental pressure by consuming natural assets and the cement production is energy intensive. Cement that production is responsible for around 10% of global CO2 emissions. Like other countries with emerging economies, India faces the dual challenge of reconciling its rapid economic growth with a pressing need to address climate change. This paper addresses on the innovation in the Low carbon foot print material, Geopolymers, alternatives to Portland cement that show similar mechanical properties that provide new incentives to address the climate change. In India, geopolymer technology is still confined at laboratory research and development levels. Beyond research, this new material technology has to be crossed in transition from scientific discovery from laboratory to innovation and wide scale deployment. This paper centers on the feasibility of geopolymer production from the industrial by products: Fly ash/Slag from resources available and its application acceptance in India for the present and the future. The key drivers for uptake of geopolymer technology are the need of stakeholder’s initiative, development of knowledge base, technical/equipment providers and practical standards. Strategy and implementation plan at national level is required for promotion of green materials and replacement of high embodied energy materials with lower one.Keywords
Geopolymer, Fly Ash, Indian Economy, CO2 Emission, Construction Industry.References
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- Quantitative Ultrasound Technique for the Assessment of Osteoporosis and Prediction of Fracture Risk
Authors
1 Department of Biomedical Engg., Bapuji Inst. of Eng. and Technol., Davangere-577004, Karnataka, IN
2 Biomedical Engg Division, Dept of Appl. Mech., IIT, Madras, Chennai-60036, IN
3 Machine Dynamics, Dept. of Appl. Mech., IIT, Madras, Chennai-60036, IN
4 Institute Hospital, IIT, Madras, Chennai-600036, IN
Source
Journal of Pure and Applied Ultrasonics, Vol 27, No 2-3 (2005), Pagination: 55-60Abstract
Osteoporosis in men and women is increasingly recognised as an important health issue. Bone mineral density (BMD) and hone strength appears to he major determinants of osteoporotic fracture. Measurement of hone strength by ultrasound is found to be a competitive means of measuring osteoporotic fracture risk and provide additional information about bone's structure and composition. In the present work quantitative ultrasound assessment of osteoporosis is carried out in Indian men and women by measuring broadband ultrasound attenuation (BUA) and speed of sound (SOS) through calcaneum bone to provide a clinical measure called the stiffness index (SI). The SI is the sum of the scaled and normalised BUA and SOS values, which is a measure of bone strength and is sensitive to bone structure used to predict the risk of bone fracture due to osteoporosis. Measurement of SI is carried out in 283 men, 108 premenopausal and 85 postmenopausal women. SI results expressed as T-score and Z-score are used to assist the physicians in the diagnosis of osteoporosis. The presence of osteoporosis is defined as T-score lower than -2.5. Observation shows that osteoporosis is predominant in postmenopausal women population who are at greater risk of fracture compared to premenopausal women and men. The effect of age, weight, height and body mass index (BMI) on SI in men and women is analyzed. The SI has negative correlation with age and is found to be a significant factor in both men and women with a high percentage of bone mineral loss in early menopausal women. In univariate analysis body weight and BMI have moderate positive correlation with SI in men and women. Height seems to have no significant effect on SI. There is a rapid loss of bone mineral content leading sudden decrease in SI during the first five years after menopause and it continues to decrease at a lesser rate with increasing age.- Impact of Industrialisation on Natural Resources–Gandhian Perspective
Authors
1 Department of Gandhian Thought and Peace Science, Gandhigram Rural Institute- Deemed University, Gandhigram – 624 302, Dindigul, Tamil Nadu, IN
2 Research scholar Department of Gandhian Thought and Peace Science, Gandhigram Rural Institute- Deemed University, Gandhigram – 624 302, Dindigul, Tamil Nadu., IN
Source
Asian Journal of Management, Vol 8, No 3 (2017), Pagination: 619-627Abstract
Aftermath of globalization is mushroom growth of industries in the sub urban areas. In the name of foreign direct investment government is entering with so many industries to increase the industrial growth and GDP. The newly arrived industries are given lot of concession and exemption from excess ding industrial loss as a result the industries exploit the natural resources in the suburban areas. Where the industries located initially cultivable lands are occurred and water resources are exploited. The earth is polluted by the waste water disposal from the industries, air is also polluted even water resources also polluted in this situation attempted made to find out the loss of natural capitals after the arrival of industries.Keywords
Green Marketing, Environment-Friendly Product, Green Products, Green Initiatives, Business Firms.References
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